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This study investigates cluster synchronisation of non-linearly coupled impulsive networks with time-varying delay. Without loss of generality, it is assumed that the nodes in the networks to be non-identical and the coupling matrix to be asymmetric. Two kinds of topological structures are concerned, which correspond to positive weighted network, as well as cooperative and competitive network, respectively...
This study was carried out to explore the model, exponential stability and controller design of dynamical output feedback networked control systems (NCS) with time-varying delays and multiple-packet transmission. Considering the existence of time-delay and packet dropout in sensor-to-controller and controller-to-actuator, a model of NCS with multiple-packet transmission and dynamical output feedback...
In the current paper, exponential synchronization is discussed for chaotic neural networks with time-varying delays. Based on Lyapunov stability theory and linear matrix inequality (LMI), a nonlinear feedback control scheme is designed to synchronize the drive system and the response one. The obtained sufficient conditions are in the forms of LMI, so much easier to verify. Moreover, numerical simulation...
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